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Similarity measures-based graph co-contrastive learning for drug–disease association prediction
MOTIVATION: An imperative step in drug discovery is the prediction of drug–disease associations (DDAs), which tries to uncover potential therapeutic possibilities for already validated drugs. It is costly and time-consuming to predict DDAs using wet experiments. Graph Neural Networks as an emerging...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275904/ https://www.ncbi.nlm.nih.gov/pubmed/37261859 http://dx.doi.org/10.1093/bioinformatics/btad357 |